We're looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps expertise to help drive innovation and efficiency throughout our data and machine learning operations.

Responsibilities

• Build, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deployment
• Create a solid cloud-based infrastructure foundation for training, processing, and serving machine learning models
• Streamline operations by automating essential workflows like data validation, transformation, and orchestration
• Work alongside cross-functional teams, such as data scientists and engineers, to bring ML solutions into production
• Enhance performance monitoring, model serving, and reliability within production environments
• Maintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experiments
• Spot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalability
• Apply strict security protocols to protect data while maintaining compliance with applicable regulations




• Troubleshoot and fix technical problems within ML deployment workflows and data pipelines

Requirements

• A Bachelor's or Master's degree in Data Engineering, Computer Science, or a related discipline
• At least 8 years working in MLOps, Data DevOps, or similar fields
• Solid command of cloud platforms including GCP, AWS, or Azure
• Proficiency with Infrastructure as Code tools such as Ansible, CloudFormation, or Terraform
• Hands-on knowledge of orchestration and containerization technologies like Kubernetes and Docker
• Practical experience using data processing frameworks such as Databricks and Apache Spark
• Strong Python skills along with familiarity with libraries like PyTorch, TensorFlow, and Pandas
• Familiarity with CI/CD tools including GitHub Actions, GitLab CI/CD, and Jenkins
• Experience working with MLOps platforms and version control systems such as Kubeflow, MLflow, and Git
• Working k

📌 Lead Systems Engineer (Pune)
🏢 EPAM Systems
📍 Pune